code: def _env_rendezvous_handler(
      url: str, timeout: timedelta = default_pg_timeout, **kwargs
  ):
      def _error(msg):
          return _rendezvous_error("env:// rendezvous: " + msg)
  
      def _env_error(var):
          return _error(
              f"environment variable {var} expected, but not set"
          )
  
      def _get_env_or_raise(env_var: str) -> str:
          env_val = os.environ.get(env_var, None)
          if not env_val:
              raise _env_error(env_var)
          else:
              return env_val
  
      result = urlparse(url)
      query_dict = _query_to_dict(result.query)
  
      rank: int
      world_size: int
      master_port: int
      master_addr: str
  
      if "rank" in query_dict:
          rank = int(query_dict["rank"])
      else:
          rank = int(_get_env_or_raise("RANK"))
  
      if "world_size" in query_dict:
          world_size = int(query_dict["world_size"])
      else:
          world_size = int(_get_env_or_raise("WORLD_SIZE"))
  
      master_addr = _get_env_or_raise("MASTER_ADDR")
      master_port = int(_get_env_or_raise("MASTER_PORT"))
      use_libuv = (
          query_dict.get("use_libuv", os.environ.get("USE_LIBUV", "0"))
          == "1"
      )
  
      store = _create_c10d_store(
          master_addr, master_port, rank, world_size, timeout, use_libuv
      )
  
      yield (store, rank, world_size)
  
      # If this configuration is invalidated, there is nothing we can do about it
      raise RuntimeError(
          "Unable to perform re-rendezvous using env:// method"
      )
  
file_path: pytorch/torch/distributed/rendezvous.py
imports: import numbers
  import os
  import sys
  from datetime import timedelta
  from typing import Dict, Optional
  from torch.distributed import FileStore, PrefixStore, Store, TCPStore
  from .constants import default_pg_timeout
label_desc: Use image node_id 11 for calling a global function with example usage: _env_rendezvous_handler(url, timeout) and returns: _rendezvous_error, _error, env_val